Zhenan Yin

I am a PhD student in Health and Biomedical Informatics at Indiana University Indianapolis, advised by Dr. Saptarshi Purkayastha.

My research interests lie at the intersection of artificial intelligence and healthcare, with a focus on multimodal learning, medical signal processing, and explainable/trustworthy medical AI.

Prior to my PhD studies, I spent five years as a project manager in the healthcare informatics division of China Mobile Yunnan, where I led large-scale digital health initiatives. This experience strengthened my understanding of real-world healthcare challenges and inspired me to pursue research in data-driven health innovation.

I hold a bachelor’s degree in Electrical Engineering from the University of California, San Diego, with a concentration in machine learning and controls. During my time at UCSD, I was a research assistant in the Statistical Visual Computing Lab (SVCL), advised by Prof. Nuno Vasconcelos, where I worked on developing a deep learning-based plankton image labeling and retrieval system. I also conducted research on a conformal ultrasonic device under the guidance of Prof. Sheng Xu in Xu Research Group.

Drawing from my background in engineering and healthcare, I strive to develop healthcare AI systems that bridge data and clinical understanding, enabling more transparent and reliable medical insights.

Feel free to reach out if you’d like to connect or collaborate.